Senior engineer állások Külföldön (it programozás, fejlesztés)

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy, and maintain software in a thriving environment.

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy and maintain software in a thriving environment.

• Work closely with Product Management to understand the business needs and find appropriate technical solutions
• Design, own and operate scalable, secure payment systems that handle financial transactions efficiently in a multi‑tenant Cloud/SaaS environment

Design, develop, implement and own products and solutions to improve the security, reliability, and scalability of N26 cloud infrastructure and systems in the workload orchestration domain...

• Lead the design and implementation of scalable, secure platform components and DevOps.
• Establish pipelines across multiple environments using Azure DevOps, and GitOps methodologies.

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

Directly impact your team's tech scope: work hand in hand with PM and EM to manage product technical roadmaps and dependencies to minimise technical debt....

• Designs and maintains test cases, test plans and test scenarios.
• Executes manual and automated tests across multiple platforms.
• Reviews requirements and supports the creation of accurate test scenarios.
• Tracks defects and issues and communicates them to development teams.

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

• Ensure state of the art testing across embedded, backend, and frontend domains to ensure high quality software products
• Create the test approach based on business and technical objectives
• Develop the test automation framework in close collaboration with other experts

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

Senior Data Solution Engineer Job Description Join our team as a Senior Data Solution Engineer and turn data into business-ready insights. You will architect and deliver domain data marts, semantic models, and Power BI solutions that make data accessible, bridging business needs with robust data...

• Develop and operate Java microservices that power Adobe's cloud platform, supporting a large global audience
• Improve the performance, reliability, and security of services your team owns end-to-end

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

In this role, you will join the Sovereign Cloud Platform engineering team. We build, harden, and operate the SAP Sovereign Cloud environments used as reference by the regional Operations teams. You will be working closely with SAP product teams, technical product managers, developers, security...

• Design, build, and operate Java‑based cloud services, owning them from design through production
• Evolve scalable, secure, and reliable capabilities using modern cloud and distributed systems practices
• Improve system performance, resilience, and operability across multiple cloud regions

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

• Collaboration: Together with Product, UX and Front-End colleagues, design and implement the Java back ends of both brand-new and evolving products you'll stay with for the long haul.
• Modeling: Translate business goals into sturdy domain models and reliable services that deliver real customer value.